Triple
T15215313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garment Center |
E363622
|
entity |
| Predicate | hasZoningProtectionFor |
P96226
|
FINISHED |
| Object | fashion industry |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fashion industry | Statement: [Garment Center, hasZoningProtectionFor, fashion industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZoningProtectionFor Context triple: [Garment Center, hasZoningProtectionFor, fashion industry]
-
A.
hasZoningPolicy
Indicates that a governing body or authority has established or adopted a specific zoning policy that regulates land use or development within its jurisdiction.
-
B.
hasZoningRestriction
chosen
Indicates that an entity is subject to a specific zoning-related limitation or regulatory constraint.
-
C.
hasProtectedArea
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
-
D.
hasZoningApproach
Indicates the type or method of zoning policy or strategy that is applied to or associated with an entity.
-
E.
isProtectedAreaOf
Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural feature.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.